Trading Operations Engineer

About the role

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

Responsibilities

Monitoring high-volume live trading and portfolio risk

Contributing to the automated trading operations codebase

Managing ongoing projects with various Tower support teams

Coordinating software and hardware upgrades

Applying programmatic solutions to scale and expand trading operations

Resolving discrepancies with trading positions, broker statements, and internal applications

Qualifications

Bachelor’s degree in Computer Science, Engineering or related discipline

3+ years of professional experience in a related field

Strong software development skills in Python

Working knowledge of Linux operating system

Exceptional analytical abilities, strong communications skills, and experience making data-driven strategic decisions

Strong working knowledge of PNL and Risk reporting applications

Familiarity with current market structure and regulatory developments

Ability to comprehend and diagnose problems in complex real-time systems with minimal guidance

Capacity to work equally well independently and as a member of a team

Strong understanding of trading technology and fluency in technical concepts

Ability to manage and prioritize multiple projects in a fast-paced environment

Strong problem-solving abilities

Benefits

Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.

At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.

Our benefits include:

Generous paid time off policies

Savings plans and other financial wellness tools available in each region

Hybrid working opportunities

Free breakfast, lunch, and snacks daily

In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)

Volunteer opportunities and charitable giving

Social events, happy hours, treats, and celebrations throughout the year

Workshops and continuous learning opportunities

At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.

Tower Research Capital is an equal opportunity employer.